Non-alcoholic fatty liver disease (NAFLD) is a metabolic disease characterized by abnormal deposition of lipid in hepatocytes. If not intervened in time, NAFLD may develop into liver fibrosis or liver cancer, and ultimately threatening life. NAFLD has complicated etiology and pathogenesis, and there are no effective therapeutic means and specific drugs. Currently, insulin sensitizers, lipid-lowering agents and hepatoprotective agents are often used for clinical intervention, but these drugs have obvious side effects, and their effectiveness and safety need to be further confirmed. Adenosine monophosphate (AMP)-activated protein kinase (AMPK) plays a central role in maintaining energy homeostasis. Activated AMPK can enhance lipid degradation, alleviate insulin resistance (IR), suppress oxidative stress and inflammatory response, and regulate autophagy, thereby alleviating NAFLD. Natural herbal medicines have received extensive attention recently because of their regulatory effects on AMPK and low side effects. In this article, we reviewed the biologically active natural herbal medicines (such as natural herbal medicine formulas, extracts, polysaccharides, and monomers) that reported in recent years to treat NAFLD via regulating AMPK, which can serve as a foundation for subsequent development of candidate drugs for NAFLD.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mutations are influenced by random and uncontrollable factors, and the risk of the next widespread epidemic remains. Dual-target drugs that synergistically act on two targets exhibit strong therapeutic effects and advantages against mutations. In this study, a novel computational workflow was developed to design dual-target SARS-CoV-2 candidate inhibitors with the Envelope protein and Main protease selected as the two target proteins. The drug-like molecules of our self-constructed 3D scaffold database were used as high-throughput molecular docking probes for feature extraction of two target protein pockets. A multi-layer perceptron (MLP) was employed to embed the binding affinities into a latent space as conditional vectors to control conditional distribution. Utilizing a conditional generative neural network, cG-SchNet, with 3D Euclidean group (E3) symmetries, the conditional probability distributions of molecular 3D structures were acquired and a set of novel SARS-CoV-2 dual-target candidate inhibitors were generated. The 1D probability, 2D joint probability, and 2D cumulative probability distribution results indicate that the generated sets are significantly enhanced compared to the training set in the high binding affinity area. Among the 201 generated molecules, 42 molecules exhibited a sum binding affinity exceeding 17.0 kcal/mol while 9 of them having a sum binding affinity exceeding 19.0 kcal/mol, demonstrating structure diversity along with strong dual-target affinities, good absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties, and ease of synthesis. Dual-target drugs are rare and difficult to find, and our "high-throughput docking-multi-conditional generation" workflow offers a wide range of options for designing or optimizing potent dual-target SARS-CoV-2 inhibitors.

Objective To investigate the application value of the subject-achieving quality control circle theory in enhan-cing medication adherence among newly diagnosed tuberculosis patients through via popular science intervention.Methods From September 2023 to April 2024,100 patients with newly diagnosed tuberculosis treated at the outpatient department were ran-domly divided into control and intervention groups,each comprising 50 cases.The control group received only routine medication education;whereas the intervention group,in addition to this,implemented popular science intervention measures based on the quality control circle theory.The medication adherence,full course completion rate,non-disease interruption rate,and self-re-ported adverse reaction rate were compared.Results After treatment,the intervention group showed higher medication adher-ence(6.76±1.02 vs.6.15±1.36),better adherence rates(78％vs.62％),and higher cure rates(76％vs.42％)than the control group,all with statistical significance.The non-disease interruption rate was also significantly lower in the intervention group(2％vs.14％).Adverse reaction reports were 6％in control and 18％in intervention group.Conclusion The subject-achieving quality control circle effectively improves medication adherence in newly diagnosed tuberculosis patients.

Non-alcoholic fatty liver disease(NAFLD)is a metabolic disease characterized by abnormal deposition of lipid in hepatocytes.If not intervened in time,NAFLD may develop into liver fibrosis or liver cancer,and ultimately threatening life.NAFLD has complicated etiology and pathogenesis,and there are no effective therapeutic means and specific drugs.Currently,insulin sensitizers,lipid-lowering agents and hep-atoprotective agents are often used for clinical intervention,but these drugs have obvious side effects,and their effectiveness and safety need to be further confirmed.Adenosine monophosphate(AMP)-activated protein kinase(AMPK)plays a central role in maintaining energy homeostasis.Activated AMPK can enhance lipid degradation,alleviate insulin resistance(IR),suppress oxidative stress and inflammatory response,and regulate autophagy,thereby alleviating NAFLD.Natural herbal medicines have received extensive attention recently because of their regulatory effects on AMPK and low side effects.In this article,we reviewed the biologically active natural herbal medicines(such as natural herbal medicine formulas,extracts,polysaccharides,and monomers)that reported in recent years to treat NAFLD via regulating AMPK,which can serve as a foundation for subsequent development of candidate drugs for NAFLD.

Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)mutations are influenced by random and uncontrollable factors,and the risk of the next widespread epidemic remains.Dual-target drugs that synergistically act on two targets exhibit strong therapeutic effects and advantages against mutations.In this study,a novel computational workflow was developed to design dual-target SARS-CoV-2 candidate inhibitors with the Envelope protein and Main protease selected as the two target proteins.The drug-like molecules of our self-constructed 3D scaffold database were used as high-throughput molecular docking probes for feature extraction of two target protein pockets.A multi-layer perceptron(MLP)was employed to embed the binding affinities into a latent space as conditional vectors to control conditional distribution.Utilizing a conditional generative neural network,cG-SchNet,with 3D Euclidean group(E3)symmetries,the conditional probability distributions of molecular 3D structures were acquired and a set of novel SARS-CoV-2 dual-target candidate inhibitors were generated.The 1D probability,2D joint probability,and 2D cumulative probability distribution results indicate that the generated sets are significantly enhanced compared to the training set in the high binding affinity area.Among the 201 generated molecules,42 molecules exhibited a sum binding affinity exceeding 17.0 kcal/mol while 9 of them having a sum binding affinity exceeding 19.0 kcal/mol,demonstrating structure diversity along with strong dual-target affinities,good absorption,distribution,metabolism,excretion,and toxicity(ADMET)properties,and ease of synthesis.Dual-target drugs are rare and difficult to find,and our"high-throughput docking-multi-conditional generation"workflow offers a wide range of options for designing or optimizing potent dual-target SARS-CoV-2 inhibitors.

Sheep and goats are important tuberculosis hosts found predominantly in plateau and mountainous regions.In recent years,the number of reported tuberculosis cases in sheep and goats has increased.The tuberculosis pathogen can spread among vari-ous animal species and even infect humans,thus further complicating disease prevention and control,and posing a serious threat to the health of both humans and livestock.This article summarizes the global prevalence of tuberculosis in sheep and goats,and specifi-cally analyzes the epidemic status in China.Frequently used tuberculosis detection methods in sheep and goats are described,and the shortcomings of each method are briefly introduced.Additionally,on the basis of frequently applied methods for monitoring,handling,and controlling tuberculosis in sheep and goats worldwide,suggestions are offered to provide a reference for tuberculosis control in sheep and goats in China.

Objective To investigate the application value of the subject-achieving quality control circle theory in enhan-cing medication adherence among newly diagnosed tuberculosis patients through via popular science intervention.Methods From September 2023 to April 2024,100 patients with newly diagnosed tuberculosis treated at the outpatient department were ran-domly divided into control and intervention groups,each comprising 50 cases.The control group received only routine medication education;whereas the intervention group,in addition to this,implemented popular science intervention measures based on the quality control circle theory.The medication adherence,full course completion rate,non-disease interruption rate,and self-re-ported adverse reaction rate were compared.Results After treatment,the intervention group showed higher medication adher-ence(6.76±1.02 vs.6.15±1.36),better adherence rates(78％vs.62％),and higher cure rates(76％vs.42％)than the control group,all with statistical significance.The non-disease interruption rate was also significantly lower in the intervention group(2％vs.14％).Adverse reaction reports were 6％in control and 18％in intervention group.Conclusion The subject-achieving quality control circle effectively improves medication adherence in newly diagnosed tuberculosis patients.

Sheep and goats are important tuberculosis hosts found predominantly in plateau and mountainous regions.In recent years,the number of reported tuberculosis cases in sheep and goats has increased.The tuberculosis pathogen can spread among vari-ous animal species and even infect humans,thus further complicating disease prevention and control,and posing a serious threat to the health of both humans and livestock.This article summarizes the global prevalence of tuberculosis in sheep and goats,and specifi-cally analyzes the epidemic status in China.Frequently used tuberculosis detection methods in sheep and goats are described,and the shortcomings of each method are briefly introduced.Additionally,on the basis of frequently applied methods for monitoring,handling,and controlling tuberculosis in sheep and goats worldwide,suggestions are offered to provide a reference for tuberculosis control in sheep and goats in China.

Human mass balance study is a pivotal research in the field of clinical pharmacology, aiming at elucidating the metabolic and excretion pathways of drugs in humans. Currently, human mass balance studies predominantly employ radiolabeling techniques. Recently, both the U.S. Food and Drug Administration (FDA) and the Center for Drug Evaluation (CDE) of the China National Medical Products Administration (NMPA) issued related research drafts and guidelines to encourage and guide the pharmaceutical industry to conduct research in compliance with established standards. The selection of radiolabeling sites is crucial for obtaining critical information on drug metabolism. However, in vivo biotransformation may lead to partial disintegration of the molecular structure, thereby resulting in the loss of metabolic product information of the unlabeled moiety. Administering drugs with different radiolabeling sites separately or in combination, or labeling multiple radioactive isotopes within one molecule, can effectively solve this problem. This article reviews relevant technological progress, analyzes radiolabeling strategies, and discusses the application of drugs with multiple radiolabeling sites in human mass balance studies.

Objective To establish a real-time fluorescent recombinase polymerase amplification(RPA)technology for the detection of the virulence gene exoS of Pseudomonas aeruginosa,and evaluate the specifici-ty,sensitivity and practicability of the method.Methods According to the specific conserved region of the vir-ulence gene exoS of Pseudomonas aeruginosa,the specific primers and probes of RPA were designed,and the extracted target DNA was detected to determine the specificity and sensitivity of RPA.Real-time fluorescence quantitative PCR(qPCR)was established to detect the target DNA,and the detection limits of different detec-tion methods for Pseudomonas aeruginosa were compared.The feasibility of RPA in detecting Pseudomonas aeruginosa was further confirmed by the performance verification test of clinical samples.Results The estab-lished RPA detection method had good specificity.Only Pseudomonas aeruginosa had specific amplification curve,but no specific amplification curve for other bacteria.The sensitivity of RPA was 5×102 cfu/mL,which was consistent with the detection limit of qPCR and the results were reliable.The detection time of RPA method was only 30 min,which was significantly lower than that of the traditional method.Conclusion The RPA method for the detection of Pseudomonas aeruginosa established in this study has high specificity and sensitivity,and significantly shortens the detection time compared with the traditional detection method.It can be used for the rapid detection of Pseudomonas aeruginosa in clinical specimens.